Elm Reactor vs Lightning AI Studios
Elm Reactor
elm-lang.orgLightning AI Studios
lightning.aiSide by side
| Figure | Elm Reactor | Lightning AI Studios |
|---|---|---|
| Price from | — | $20/mo |
| Free plan | — | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 0 | 9 |
| Spec score · Coding Playgrounds | 7.0 (#131) | 9.3 (#6) |
| Founded | 2013 | Lightning AI says founder William Falcon started the company in 2019 with Luis Capelo when it was called Grid.ai. |
| Local development | Running `elm reactor` at a project’s root starts a server at localhost:8000 where users can view Elm files. | Users can connect local IDEs such as VS Code, Cursor, and PyCharm over SSH. |
| Purpose | Elm is a functional language that compiles to JavaScript and is designed for websites and web apps. | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. |
Plans
Lightning AI Studios
- FreeFree
- FreeFree
- Pro$20 a month
- Pro (annual)$20 a month
- Pro (monthly)$50 a month
- Teams$119 a month
- Teams (annual)$119 a month
- Teams (monthly)$140 a month
- EnterprisePriced on request
In their own words
Elm Reactor
Elm Reactor has no write-up on Specifiction yet; its figures are above.
Lightning AI Studios
Lightning AI Studios is a cloud workspace for training models, running inference, building agents and AI apps, and coding collaboratively. Its persistent environments save installed packages, custom Python versions, and downloaded files. Studios offer browser-accessible VS Code and JupyterLab, plus AI copilots for AI and machine-learning work, including CUDA and PyTorch debugging. Teams can collaborate in real time on private projects, use a full-stack runtime, and deploy full-stack applications. Users can connect S3 buckets and EFS volumes through Lightning Drive, import models from Hugging Face and GitHub, or connect local IDEs such as VS Code, Cursor, and PyCharm over SSH. An SDK supports workflow automation. The Free plan is free and includes one active Studio, 50 GB persistent storage, and up to two concurrent GPUs; that Studio requires a restart every four hours. Pro and Teams plans have higher storage and GPU limits. Enterprise offers deployment in a customer VPC using AWS or GCP cloud credits.